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dc.contributorAlcañiz Zanón, Manuela Manuela
dc.contributorSantolino Prieto, Miguel
dc.contributor.authorRamon Callao, Lluís
dc.date.accessioned2016-07-01T12:18:58Z
dc.date.available2016-07-01T12:18:58Z
dc.date.issued2016-06
dc.identifier.urihttp://hdl.handle.net/2117/88462
dc.description.abstractThis Master's Degree Thesis has the following objectives: Understand tree based models and their main advantages and disadvantages Be aware how unbalanced data affects tree based models Deepen drunk driving knowledge in Catalonia Develop a predictive model to detect drunk drivers In this Master Degree Thesis it is described how road safety is a world wide problem and drunk driving an issue to tackle. Original data from Police preventive checkpoints is described and different tree based models are introduced as Classification and Regression Trees, Bagging and Random Forest. It is also detailed the Class Imbalance Problem with several approaches to deal with it. This models are used to develop a predictive model to detect drunk drivers.
dc.language.isoeng
dc.publisherUniversitat Politècnica de Catalunya
dc.publisherUniversitat de Barcelona
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject.lcshS'han publicat diversos perfils d'expressió amb intenció predictiva del pronòstic en malalts amb càn
dc.subject.otherRandom forest
dc.subject.otherCart
dc.subject.otherBagging
dc.subject.otherDrunk driving
dc.subject.otherClass imbalance
dc.subject.otherTree models
dc.subject.otherTree
dc.subject.otherCross validation
dc.subject.otherCaret
dc.titleUsing tree-based models to predict drunk driving at Police preventive checkpoints
dc.typeMaster thesis
dc.subject.lemacEstadística matemàtica--Aplicacions
dc.subject.amsClassificació AMS::62 Statistics::62P Applications
dc.identifier.slugFME-1340
dc.rights.accessOpen Access
dc.date.updated2016-07-01T05:39:33Z
dc.audience.educationlevelMàster
dc.audience.mediatorUniversitat Politècnica de Catalunya. Facultat de Matemàtiques i Estadística
dc.audience.degreeMÀSTER UNIVERSITARI EN ESTADÍSTICA I INVESTIGACIÓ OPERATIVA (Pla 2013)


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